An experimental approach in defect detection of a single row ball bearing using noise generation signal

Aref Afsharfard, Seyed Hamid Reza Sanei

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Bearings are critical mechanical components that are used in rotary machinery. Timely detection of defects in such components can prevent catastrophic failure. Noise is generated during the rotation of bearings even without the presence of defects due to finite number of rotating elements to carry the load. Such noise is associated with the change in effective stiffness during rotation, however, a sharp spike is observed in the noise level with presence of local defects. This study uses the noise generation aspect of roller bearings to identify local defect in a single row ball bearing with outer race stationary under radial load. Experimental testing is conducted on two identical bearings. The defective bearing is selected from a diesel engine subjected to 20 years of service. Dissecting the defective bearing revealed pitting and spalling of the inner race and balls, the most two common bearing defects. Both time and frequency analysis of sound pressure generated by the bearings were performed. The results show that there is a clear distinction in the time and frequency spectra between healthy and defective bearings. Findings of this study revealed that using a simple cost efficient in-house experimental setup, local defects can be readily detected.

Original languageEnglish (US)
Title of host publicationAcoustics, Vibration, and Phononics
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791859483
DOIs
StatePublished - 2019
EventASME 2019 International Mechanical Engineering Congress and Exposition, IMECE 2019 - Salt Lake City, United States
Duration: Nov 11 2019Nov 14 2019

Publication series

NameASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
Volume11

Conference

ConferenceASME 2019 International Mechanical Engineering Congress and Exposition, IMECE 2019
Country/TerritoryUnited States
CitySalt Lake City
Period11/11/1911/14/19

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering

Fingerprint

Dive into the research topics of 'An experimental approach in defect detection of a single row ball bearing using noise generation signal'. Together they form a unique fingerprint.

Cite this